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NCEPU
- BeiJing,China
- https://liujiaji1999.github.io/
- https://orcid.org/0000-0001-5703-0209
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[ICCV 2025] LocalDyGS : Multi-view Global Dynamic Scene Modeling through Adaptive Local Feature Decoupling
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
RGB-T Fusion, RGB-T SOD, RGB-T Vehicle Detection, RGB-T Crowd Counting, RGB-T Pedestrian Detection, RGB-T Semantic Segmeantaion, RGB-T Tracking
Official Implementation of "Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection" from CVPRW 2025
This is the official PyTorch implementation of paper: Video Individual Counting for Moving Drones, ICCV 2025 highlight.
Vietnamese Public Merged dataset for Broken Glass Insulator
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Multi-view People Detection in Large Scenes via View-wise Contribution Weighting, AAAI 2024
A collection of some datasets for segmentation / saliency detection. Welcome to PR...:smile:
[CVPR 2025] DEIM: DETR with Improved Matching for Fast Convergence
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
[ICCV'25] Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
Multi-View Attention Guided Feature Learning for Unsupervised Surface Defect Detection
Multi-view Aggregation Network for Dichotomous Image Segmentation (CVPR24, Highlight)
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection (TPAMI 2024)
[ICML2025] Official Implementation of CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering
Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)
[CVPR2022] Official Implementation of the paper 'Learning Where to Learn in Cross-View Self-Supervised Learning'
Official code for the ICCV 2021 paper "Human Detection and Segmentation via Multi-view Consensus".
Multi-View, Multi-Augmentation Self-Supervised Representation Learning